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Phylogenetic comparative methods for studying diversification and phenotypic evolution (PCME01)
5 November 2018 - 8 November 2018£220.00 - £480.00
Phylogenetic comparative methods are commonly used nowadays to investigate how species diversification occurs and to test hypotheses about the mechanisms that drive phenotypic evolution, e.g. to model speciation and extinction, to understand why some groups are more diverse than others, to test whether phenotypic traits have evolved under neutral, directional or diversifying selection, to investigate how evolutionary rates are modified across the evolutionary history of a group etc. In all these cases, a phylogenetic hypothesis for the group of interest is combined to phenotypic and ecological data at the species level to understand the tempo and mode of evolutionary change.
The objective of this course is to provide an overview of these methods and of the tools available for their implementation in the R statistical language. During theoretical sessions, we will review the main concepts and statistical tools necessary for testing hypotheses about species diversification and phenotypic evolution. These will then be implemented during practicals through worked examples to provide the participants with hands-on experience on data management and the implementation of these methods to real biological data.
Research postgraduates, practicing academics and primary investigators in evolutionary ecology with interest for any kind of studies involving evolutionary inferences across phylogenetically related species.
Venue – PR statistics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map
Availability – 24 places
Duration – 4 days
Contact hours – Approx. 28 hours
ECT’s – Equal to 4 ECT’s
Language – English
We offer COURSE ONLY and ACCOMMODATION PACKAGES;
• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner Wednesday evening, refreshments and accommodation. Self-catering facilities are available in the accommodation. Accommodation is approx. a 6 minute walk from PR statistics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 4th November (after 5pm) and departure Thursday 8th November (accommodation must be vacated by 9am).
To book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page.
Other payment options are available please email firstname.lastname@example.org
Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact email@example.com Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PR~statistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PR~statistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.
There will be morning lectures based on the modules outlined in the course timetable. In the afternoon there will be practical’s based on the topics covered that morning. Data sets for computer practical’s will be provided by the instructors, but participants are encouraged to bring their own data.Assumed quantitative knowledge
A basic understanding of statistical concepts. Specifically, generalised linear regression models, statistical significance, hypothesis testing and a general concepts of phylogeny inference.
Assumed computer background
A good knowledge of basic operations in R (file import, handling objects, using functions, getting help) is required and assumed to be able to adequately follow this course.
Equipment and software requirements
A laptop/personal computer with a working version or R and RStudio installed. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links.
It is essential that you come with all necessary software and packages already installed (you will be sent a list of packages prior to the course) internet access may not always be available.
UNSURE ABOUT SUITABLILITY THEN PLEASE ASK firstname.lastname@example.org
Meet at 43 Cook Street, Glasgow G5 8JN at approx. 17:00 onwards
Monday 5th – Classes from 09:30 – 17:30
1-1) Why do we need PCMs? A short history of the field
1-2) Testing for phylogenetic signal
1-3) Ancestral character reconstruction
Tuesday 6th – Classes from 09:30 – 17:30
Testing hypotheses on phenotypic evolution
2-1) Phylogenetic independent contrasts and phylogenetic GLS
2-2) Phylogenetically-informed ordination
Wednesday 7th – Classes from 09:30 – 17:30
Tempo and mode of evolutionary change
3-1) Evolutionary rates: estimation and tests
3-2) Models of phenotypic evolution
Thursday 8th – Classes from 09:30 – 16:00
4-1) Modelling lineage diversification
4-2) Future perspectives: multivariate extensions to PCMs
The instructors were excellent and clearly were the reasons for my previous comments. They both combined a deep understanding of statistics and ecology at the same level.Any questions or queries I’ve had, were thus first answered with an ecological point of view and then translated into statistical consideration thereby making much more sense on both side.In addition the course was very well organised, the course director and the two instructors were very friendly as well as professional. On the top of learning many useful things, I’ve also had a very good time during the week there.” Clement Garcia,
Spatial ecologist, Centre For Environment, Fisheries & Aquaculture Science (CEFAS), England
(Attended ADVR course)